US11238274B2 - Image feature extraction method for person re-identification - Google Patents

Image feature extraction method for person re-identification Download PDF

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US11238274B2
US11238274B2 US16/622,586 US201716622586A US11238274B2 US 11238274 B2 US11238274 B2 US 11238274B2 US 201716622586 A US201716622586 A US 201716622586A US 11238274 B2 US11238274 B2 US 11238274B2
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feature
local descriptor
feature extraction
blocks
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US20210150194A1 (en
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Wenmin Wang
Yihao Zhang
Ronggang Wang
Ge Li
Shengfu DONG
Zhenyu Wang
Ying Li
Wen Gao
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Peking University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • G06K9/00362—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/2163—Partitioning the feature space
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G06K9/6215—
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    • G06K9/6261—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/36—Applying a local operator, i.e. means to operate on image points situated in the vicinity of a given point; Non-linear local filtering operations, e.g. median filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition

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CN201710536020.4A CN107316031B (zh) 2017-07-04 2017-07-04 用于行人重识别的图像特征提取方法
CN201710536020.4 2017-07-04
PCT/CN2017/118794 WO2019007004A1 (zh) 2017-07-04 2017-12-27 用于行人重识别的图像特征提取方法

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CN108229344A (zh) * 2017-12-19 2018-06-29 深圳市商汤科技有限公司 图像处理方法和装置、电子设备、计算机程序和存储介质
CN107977656A (zh) * 2017-12-26 2018-05-01 北京大学 一种行人重识别方法及系统
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CN110866526A (zh) * 2018-08-28 2020-03-06 北京三星通信技术研究有限公司 图像分割方法、电子设备及计算机可读存储介质
CN109214366B (zh) * 2018-10-24 2021-05-04 北京旷视科技有限公司 局部目标重识别方法、装置及系统
CN109472248B (zh) * 2018-11-22 2022-03-25 广东工业大学 一种行人重识别方法、系统及电子设备和存储介质
CN109711316B (zh) * 2018-12-21 2022-10-21 广东工业大学 一种行人重识别方法、装置、设备及存储介质
CN109697432B (zh) * 2018-12-30 2023-04-07 陕西师范大学 融合改进的siltp和局部方向模式的学习者姿态识别方法
CN109784258A (zh) * 2019-01-08 2019-05-21 华南理工大学 一种基于多尺度特征切割与融合的行人重识别方法
CN109934177A (zh) * 2019-03-15 2019-06-25 艾特城信息科技有限公司 行人再识别方法、系统及计算机可读存储介质
CN110008379A (zh) * 2019-03-19 2019-07-12 北京旷视科技有限公司 监控图像处理方法及装置
CN110110755B (zh) * 2019-04-04 2021-02-26 长沙千视通智能科技有限公司 基于ptgan区域差距与多重分支的行人重识别检测方法及装置
CN110175527B (zh) * 2019-04-29 2022-03-25 北京百度网讯科技有限公司 行人再识别方法及装置、计算机设备及可读介质
CN110427868A (zh) * 2019-07-30 2019-11-08 上海工程技术大学 一种行人重识别中的特征提取方法
CN110619271A (zh) * 2019-08-12 2019-12-27 浙江浩腾电子科技股份有限公司 一种基于深度区域特征连接的行人重识别方法
CN110472591B (zh) * 2019-08-19 2022-03-25 浙江工业大学 一种基于深度特征重构的遮挡行人重识别方法
CN110728238A (zh) * 2019-10-12 2020-01-24 安徽工程大学 一种融合型神经网络的人员再检测方法
CN110852276B (zh) * 2019-11-12 2022-07-01 杭州云栖智慧视通科技有限公司 一种基于多任务深度学习的行人再识别方法
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